Desktop and laptop use cases demand high single threaded performance across a large variety of workloads. Creating CPU cores to meet those demands is no easy task. AMD and Intel traditionally dominated this high performance segment using high clocked, high throughput cores with large out-of-order engines to absorb latency. Arm traditionally optimized for low power and low area, and not necessarily maximum performance. Over the years though, Arm steadily built more complex cores and looked for opportunities to expand into higher performance segments. Matching the best from Intel and AMD must have been a distant dream in 2012, when Arm launched their first 64-bit core, the Cortex A57. Today, that dream is a reality.
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集成式Agent主要消耗文本Token，单次任务成本可以低至0.01美元甚至更低。OpenClaw却需要持续传输高分辨率截图，每次推理可能消耗1000至1500个视觉Token；若任务链条较长，单次成本可能达到1至2美元。对于高频企业调用场景，这意味着成本可能是集成式方案的数十倍甚至百倍。
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